{"library":"tensorflow-recommenders","type":"library","category":null,"description":"TensorFlow Recommenders (TFRS) is a library for building recommender system models using TensorFlow. It helps with the full workflow of building a recommender system: data preparation, model formulation, training, evaluation, and deployment. It's built on Keras and aims to have a gentle learning curve while still giving you the flexibility to build complex models.","language":"python","status":"active","version":"0.7.7","tags":["tensorflow","recommenders","machine-learning","deep-learning","keras"],"last_verified":"Mon May 25","install":[{"cmd":"pip install tensorflow-recommenders","imports":["import tensorflow_recommenders as tfrs","import tensorflow as tf","import tensorflow_datasets as tfds"]}],"homepage":null,"github":"https://github.com/tensorflow/recommenders","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-recommenders/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":33.2,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorflow-recommenders/compatibility"}}